{
 "cells": [
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import xgboost as xgb\n",
    "import pickle\n",
    "import sys\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import make_scorer\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.preprocessing import LabelEncoder,LabelBinarizer\n",
    "from sklearn.model_selection  import cross_val_score\n",
    "from sklearn.model_selection import KFold,train_test_split\n",
    "\n",
    "from xgboost import XGBRegressor\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline\n",
    "\n",
    "%config InlineBackend.figure_format = 'retina'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('allstate-claims-severity/train.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "train['log_loss']=np.log(train['loss'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "离散特征Categorical: 116 features\n",
      "Numerical:14 features\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['cat1',\n",
       " 'cat2',\n",
       " 'cat3',\n",
       " 'cat4',\n",
       " 'cat5',\n",
       " 'cat6',\n",
       " 'cat7',\n",
       " 'cat8',\n",
       " 'cat9',\n",
       " 'cat10',\n",
       " 'cat11',\n",
       " 'cat12',\n",
       " 'cat13',\n",
       " 'cat14',\n",
       " 'cat15',\n",
       " 'cat16',\n",
       " 'cat17',\n",
       " 'cat18',\n",
       " 'cat19',\n",
       " 'cat20',\n",
       " 'cat21',\n",
       " 'cat22',\n",
       " 'cat23',\n",
       " 'cat24',\n",
       " 'cat25',\n",
       " 'cat26',\n",
       " 'cat27',\n",
       " 'cat28',\n",
       " 'cat29',\n",
       " 'cat30',\n",
       " 'cat31',\n",
       " 'cat32',\n",
       " 'cat33',\n",
       " 'cat34',\n",
       " 'cat35',\n",
       " 'cat36',\n",
       " 'cat37',\n",
       " 'cat38',\n",
       " 'cat39',\n",
       " 'cat40',\n",
       " 'cat41',\n",
       " 'cat42',\n",
       " 'cat43',\n",
       " 'cat44',\n",
       " 'cat45',\n",
       " 'cat46',\n",
       " 'cat47',\n",
       " 'cat48',\n",
       " 'cat49',\n",
       " 'cat50',\n",
       " 'cat51',\n",
       " 'cat52',\n",
       " 'cat53',\n",
       " 'cat54',\n",
       " 'cat55',\n",
       " 'cat56',\n",
       " 'cat57',\n",
       " 'cat58',\n",
       " 'cat59',\n",
       " 'cat60',\n",
       " 'cat61',\n",
       " 'cat62',\n",
       " 'cat63',\n",
       " 'cat64',\n",
       " 'cat65',\n",
       " 'cat66',\n",
       " 'cat67',\n",
       " 'cat68',\n",
       " 'cat69',\n",
       " 'cat70',\n",
       " 'cat71',\n",
       " 'cat72',\n",
       " 'cat73',\n",
       " 'cat74',\n",
       " 'cat75',\n",
       " 'cat76',\n",
       " 'cat77',\n",
       " 'cat78',\n",
       " 'cat79',\n",
       " 'cat80',\n",
       " 'cat81',\n",
       " 'cat82',\n",
       " 'cat83',\n",
       " 'cat84',\n",
       " 'cat85',\n",
       " 'cat86',\n",
       " 'cat87',\n",
       " 'cat88',\n",
       " 'cat89',\n",
       " 'cat90',\n",
       " 'cat91',\n",
       " 'cat92',\n",
       " 'cat93',\n",
       " 'cat94',\n",
       " 'cat95',\n",
       " 'cat96',\n",
       " 'cat97',\n",
       " 'cat98',\n",
       " 'cat99',\n",
       " 'cat100',\n",
       " 'cat101',\n",
       " 'cat102',\n",
       " 'cat103',\n",
       " 'cat104',\n",
       " 'cat105',\n",
       " 'cat106',\n",
       " 'cat107',\n",
       " 'cat108',\n",
       " 'cat109',\n",
       " 'cat110',\n",
       " 'cat111',\n",
       " 'cat112',\n",
       " 'cat113',\n",
       " 'cat114',\n",
       " 'cat115',\n",
       " 'cat116',\n",
       " 'cont1',\n",
       " 'cont2',\n",
       " 'cont3',\n",
       " 'cont4',\n",
       " 'cont5',\n",
       " 'cont6',\n",
       " 'cont7',\n",
       " 'cont8',\n",
       " 'cont9',\n",
       " 'cont10',\n",
       " 'cont11',\n",
       " 'cont12',\n",
       " 'cont13',\n",
       " 'cont14']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = [x for x in train.columns if x not in ['id','loss','log_loss']]\n",
    "\n",
    "cat_features =[x for x in train.select_dtypes(include = ['object']) if x not in ['id','loss','log_loss']]\n",
    "\n",
    "num_features =[x for x in train.select_dtypes(exclude = ['object']) if x not in ['id','loss','log_loss']]           \n",
    "\n",
    "print('离散特征Categorical: {} features'.format(len(cat_features)))\n",
    "print('Numerical:{} features'.format(len(num_features)))\n",
    "features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Xtrain: (188318, 130)\n",
      "ytrain: (188318,)\n"
     ]
    }
   ],
   "source": [
    "ntrain = train.shape[0]\n",
    "#ntrain = 188318\n",
    "\n",
    "train_x = train[features]\n",
    "train_y = train['log_loss']\n",
    "\n",
    "for c in range(len(cat_features)):\n",
    "    train_x[cat_features[c]] = train_x[cat_features[c]].astype('category').cat.codes\n",
    "print('Xtrain:',train_x.shape)\n",
    "print('ytrain:',train_y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cat1</th>\n",
       "      <th>cat2</th>\n",
       "      <th>cat3</th>\n",
       "      <th>cat4</th>\n",
       "      <th>cat5</th>\n",
       "      <th>cat6</th>\n",
       "      <th>cat7</th>\n",
       "      <th>cat8</th>\n",
       "      <th>cat9</th>\n",
       "      <th>cat10</th>\n",
       "      <th>...</th>\n",
       "      <th>cont5</th>\n",
       "      <th>cont6</th>\n",
       "      <th>cont7</th>\n",
       "      <th>cont8</th>\n",
       "      <th>cont9</th>\n",
       "      <th>cont10</th>\n",
       "      <th>cont11</th>\n",
       "      <th>cont12</th>\n",
       "      <th>cont13</th>\n",
       "      <th>cont14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.310061</td>\n",
       "      <td>0.718367</td>\n",
       "      <td>0.335060</td>\n",
       "      <td>0.30260</td>\n",
       "      <td>0.67135</td>\n",
       "      <td>0.83510</td>\n",
       "      <td>0.569745</td>\n",
       "      <td>0.594646</td>\n",
       "      <td>0.822493</td>\n",
       "      <td>0.714843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.885834</td>\n",
       "      <td>0.438917</td>\n",
       "      <td>0.436585</td>\n",
       "      <td>0.60087</td>\n",
       "      <td>0.35127</td>\n",
       "      <td>0.43919</td>\n",
       "      <td>0.338312</td>\n",
       "      <td>0.366307</td>\n",
       "      <td>0.611431</td>\n",
       "      <td>0.304496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.397069</td>\n",
       "      <td>0.289648</td>\n",
       "      <td>0.315545</td>\n",
       "      <td>0.27320</td>\n",
       "      <td>0.26076</td>\n",
       "      <td>0.32446</td>\n",
       "      <td>0.381398</td>\n",
       "      <td>0.373424</td>\n",
       "      <td>0.195709</td>\n",
       "      <td>0.774425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.422268</td>\n",
       "      <td>0.440945</td>\n",
       "      <td>0.391128</td>\n",
       "      <td>0.31796</td>\n",
       "      <td>0.32128</td>\n",
       "      <td>0.44467</td>\n",
       "      <td>0.327915</td>\n",
       "      <td>0.321570</td>\n",
       "      <td>0.605077</td>\n",
       "      <td>0.602642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.704268</td>\n",
       "      <td>0.178193</td>\n",
       "      <td>0.247408</td>\n",
       "      <td>0.24564</td>\n",
       "      <td>0.22089</td>\n",
       "      <td>0.21230</td>\n",
       "      <td>0.204687</td>\n",
       "      <td>0.202213</td>\n",
       "      <td>0.246011</td>\n",
       "      <td>0.432606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>188313</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.939556</td>\n",
       "      <td>0.242437</td>\n",
       "      <td>0.289949</td>\n",
       "      <td>0.24564</td>\n",
       "      <td>0.30859</td>\n",
       "      <td>0.32935</td>\n",
       "      <td>0.223038</td>\n",
       "      <td>0.220003</td>\n",
       "      <td>0.333292</td>\n",
       "      <td>0.208216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>188314</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.704268</td>\n",
       "      <td>0.334270</td>\n",
       "      <td>0.382000</td>\n",
       "      <td>0.63475</td>\n",
       "      <td>0.40455</td>\n",
       "      <td>0.47779</td>\n",
       "      <td>0.307628</td>\n",
       "      <td>0.301921</td>\n",
       "      <td>0.318646</td>\n",
       "      <td>0.305872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>188315</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.482436</td>\n",
       "      <td>0.345883</td>\n",
       "      <td>0.370534</td>\n",
       "      <td>0.24564</td>\n",
       "      <td>0.45808</td>\n",
       "      <td>0.47779</td>\n",
       "      <td>0.445614</td>\n",
       "      <td>0.443374</td>\n",
       "      <td>0.339244</td>\n",
       "      <td>0.503888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>188316</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.340543</td>\n",
       "      <td>0.704364</td>\n",
       "      <td>0.562866</td>\n",
       "      <td>0.34987</td>\n",
       "      <td>0.44767</td>\n",
       "      <td>0.53881</td>\n",
       "      <td>0.863052</td>\n",
       "      <td>0.852865</td>\n",
       "      <td>0.654753</td>\n",
       "      <td>0.721707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>188317</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.281143</td>\n",
       "      <td>0.844563</td>\n",
       "      <td>0.533048</td>\n",
       "      <td>0.97123</td>\n",
       "      <td>0.93383</td>\n",
       "      <td>0.83814</td>\n",
       "      <td>0.932195</td>\n",
       "      <td>0.946432</td>\n",
       "      <td>0.810511</td>\n",
       "      <td>0.721460</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>188318 rows × 130 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        cat1  cat2  cat3  cat4  cat5  cat6  cat7  cat8  cat9  cat10  ...  \\\n",
       "0          0     1     0     1     0     0     0     0     1      0  ...   \n",
       "1          0     1     0     0     0     0     0     0     1      1  ...   \n",
       "2          0     1     0     0     1     0     0     0     1      1  ...   \n",
       "3          1     1     0     1     0     0     0     0     1      0  ...   \n",
       "4          0     1     0     1     0     0     0     0     1      1  ...   \n",
       "...      ...   ...   ...   ...   ...   ...   ...   ...   ...    ...  ...   \n",
       "188313     0     1     0     0     0     0     0     0     1      0  ...   \n",
       "188314     0     0     0     0     0     1     0     0     0      0  ...   \n",
       "188315     0     1     0     0     0     0     0     1     1      0  ...   \n",
       "188316     0     1     0     0     0     0     0     0     1      1  ...   \n",
       "188317     1     0     0     1     0     0     0     0     0      0  ...   \n",
       "\n",
       "           cont5     cont6     cont7    cont8    cont9   cont10    cont11  \\\n",
       "0       0.310061  0.718367  0.335060  0.30260  0.67135  0.83510  0.569745   \n",
       "1       0.885834  0.438917  0.436585  0.60087  0.35127  0.43919  0.338312   \n",
       "2       0.397069  0.289648  0.315545  0.27320  0.26076  0.32446  0.381398   \n",
       "3       0.422268  0.440945  0.391128  0.31796  0.32128  0.44467  0.327915   \n",
       "4       0.704268  0.178193  0.247408  0.24564  0.22089  0.21230  0.204687   \n",
       "...          ...       ...       ...      ...      ...      ...       ...   \n",
       "188313  0.939556  0.242437  0.289949  0.24564  0.30859  0.32935  0.223038   \n",
       "188314  0.704268  0.334270  0.382000  0.63475  0.40455  0.47779  0.307628   \n",
       "188315  0.482436  0.345883  0.370534  0.24564  0.45808  0.47779  0.445614   \n",
       "188316  0.340543  0.704364  0.562866  0.34987  0.44767  0.53881  0.863052   \n",
       "188317  0.281143  0.844563  0.533048  0.97123  0.93383  0.83814  0.932195   \n",
       "\n",
       "          cont12    cont13    cont14  \n",
       "0       0.594646  0.822493  0.714843  \n",
       "1       0.366307  0.611431  0.304496  \n",
       "2       0.373424  0.195709  0.774425  \n",
       "3       0.321570  0.605077  0.602642  \n",
       "4       0.202213  0.246011  0.432606  \n",
       "...          ...       ...       ...  \n",
       "188313  0.220003  0.333292  0.208216  \n",
       "188314  0.301921  0.318646  0.305872  \n",
       "188315  0.443374  0.339244  0.503888  \n",
       "188316  0.852865  0.654753  0.721707  \n",
       "188317  0.946432  0.810511  0.721460  \n",
       "\n",
       "[188318 rows x 130 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple XGBoost Model\n",
    "    首先，我们训练一个基本的xgboost模型，然后进行参数调节通过交叉验证来观察结果的变换，使用平均绝对误差衡量mean_absolute_error(np.exp(y),np.exp(yhat))\n",
    "    xgboost自定义一个数据矩阵类DMatrix，会在训练开始时，进行一边预处理，从而提高之后每次迭代的效率\n",
    "### 结果衡量方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#评估策略，e的次幂，用来评估。\n",
    "#结果衡量方法：使用平均绝对误差来衡量\n",
    "#mean_absolute_error(np.exp(y), np.exp(yhat))。\n",
    "#定义计算损失值的函数\n",
    "def xg_eval_mae(yhat,dtrain):\n",
    "    y = dtrain.get_label()\n",
    "    return 'mae',mean_absolute_error(np.exp(y),np.exp(yhat))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xgboost.core.DMatrix at 0x1ea8041c848>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#数据类型转换成库可以使用的底层格式。\n",
    "dtrain = xgb.DMatrix(train_x,train['log_loss'])\n",
    "dtrain"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Xgboost参数  \n",
    "         \n",
    "    ·'booster':'gbtree',梯度提升树\n",
    "    ·'objective': 'multi:softmax', 多分类的问题  \n",
    "    ·'num_class':10, 类别数，与 multisoftmax 并用\n",
    "    ·'gamma':损失下降多少才进行分裂\n",
    "    ·'max_depth':12, 构建树的深度，越大越容易过拟合\n",
    "    ·'lambda':2, 控制模型复杂度的权重值的L2正则化项参数，参数越大，模型越不容易过拟合。\n",
    "    ·'subsample':0.7, 随机采样训练样本 // 取70%的数据训练\n",
    "    ·'colsample_bytree':0.7, 生成树时进行的列采样\n",
    "    ·'min_child_weight':3, 孩子节点中最小的样本权重和。如果一个叶子节点的样本权重和小于min_child_weight则拆分过程结束\n",
    "    ·'silent':0 ,设置成1则没有运行信息输出，最好是设置为0.\n",
    "    ·'eta': 0.007, 如同学习率。//后加树 的贡献率\n",
    "    ·'seed':1000,\n",
    "    ·'nthread':7, cpu 线程数\n",
    "————————————————  \n",
    "版权声明：本文为CSDN博主「好瘦的小胖子」的原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接及本声明。\n",
    "原文链接：https://blog.csdn.net/qq_29547673/article/details/89319061"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "xgb_params = {\n",
    "    'seed': 0,\n",
    "    'eta': 0.1,\n",
    "    'colsample_bytree': 0.5,\n",
    "    'silent': 1,\n",
    "    'subsample': 0.5,\n",
    "    'objective': 'reg:linear',\n",
    "    'max_depth': 5,\n",
    "    'min_child_weight': 3\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用交叉验证 xgb.cv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV score: 1220.110026\n",
      "Wall time: 26 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "#feval:评估策略\n",
    "bst_cv1 = xgb.cv(xgb_params, dtrain, num_boost_round=50, nfold=3, seed=0, \n",
    "                feval=xg_eval_mae, maximize=False, early_stopping_rounds=10)\n",
    "\n",
    "print ('CV score:', bst_cv1.iloc[-1,:]['test-mae-mean'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ea839bc1c8>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 248,
       "width": 381
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "bst_cv1[['train-mae-mean', 'test-mae-mean']].plot() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 上面是我们第一个模型\n",
    "    ·没有发生过拟合  \n",
    "    ·只建立了50个树模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CV score: 1172.059570333333\n",
      "Wall time: 50.9 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#建立100个树模型\n",
    "bst_cv2 = xgb.cv(xgb_params, dtrain, num_boost_round=100, \n",
    "                nfold=3, seed=0, feval=xg_eval_mae, maximize=False, \n",
    "                early_stopping_rounds=10)\n",
    "\n",
    "print ('CV score:', bst_cv2.iloc[-1,:]['test-mae-mean'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1eaf0517c08>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 277,
       "width": 953
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1,2)\n",
    "fig.set_size_inches(16,4)\n",
    "\n",
    "ax1.set_title('100 rounds of training')\n",
    "ax1.set_xlabel('Rounds')\n",
    "ax1.set_ylabel('Loss')\n",
    "ax1.grid(True)\n",
    "ax1.plot(bst_cv2[['train-mae-mean', 'test-mae-mean']])\n",
    "ax1.legend(['Training Loss', 'Test Loss'])\n",
    "\n",
    "ax2.set_title('60 last rounds of training')\n",
    "ax2.set_xlabel('Rounds')\n",
    "ax2.set_ylabel('Loss')\n",
    "ax2.grid(True)\n",
    "ax2.plot(bst_cv2.iloc[40:][['train-mae-mean', 'test-mae-mean']])\n",
    "ax2.legend(['Training Loss', 'Test Loss']) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    我们把树模型的数量增加到了100。效果不是很明显。看最后的60次。我们可以看到 测试集仅比训练集高那么一丁点。存在一丁点的过拟合。\n",
    "    不过我们的CV score更低了。接下来，我们改变其他参数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## XGBoost 参数调节\n",
    "    Step 1: 选择一组初始参数\n",
    "    Step 2: 改变 max_depth 和 min_child_weight.\n",
    "    Step 3: 调节 gamma 降低模型过拟合风险.\n",
    "    Step 4: 调节 subsample 和 colsample_bytree 改变数据采样策略.\n",
    "    Step 5: 调节学习率 eta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "class XGBoostRegressor(object):\n",
    "    def __init__(self, **kwargs):\n",
    "        self.params = kwargs\n",
    "        if 'num_boost_round' in self.params:\n",
    "            self.num_boost_round = self.params['num_boost_round']\n",
    "        self.params.update({'silent': 1, 'objective': 'reg:linear', 'seed': 0})#默认参数\n",
    "        \n",
    "    def fit(self, x_train, y_train):\n",
    "        '''\n",
    "        #数据类型转换,#用参数去训练xgboost模型\n",
    "        '''\n",
    "        dtrain = xgb.DMatrix(x_train, y_train) \n",
    "        self.bst = xgb.train(params=self.params, dtrain=dtrain, num_boost_round=self.num_boost_round,\n",
    "                             feval=xg_eval_mae, maximize=False)\n",
    "        \n",
    "    def predict(self, x_pred):\n",
    "        dpred = xgb.DMatrix(x_pred)\n",
    "        self.bst = xgb.train(params=self.params, dtrain=dtrain, num_boost_round=self.num_boost_round,\n",
    "                             feval=xg_eval_mae, maximize=False)\n",
    "        return self.bst.predict(dpred)\n",
    "    \n",
    "    def kfold(self, x_train, y_train, nfold=5):\n",
    "        dtrain = xgb.DMatrix(x_train, y_train)\n",
    "        cv_rounds = xgb.cv(params=self.params, dtrain=dtrain, num_boost_round=self.num_boost_round,\n",
    "                           nfold=nfold, feval=xg_eval_mae, maximize=False, early_stopping_rounds=10)\n",
    "        return cv_rounds.iloc[-1,:]\n",
    "    \n",
    "    def plot_feature_importances(self):\n",
    "        feat_imp = pd.Series(self.bst.get_fscore()).sort_values(ascending=False)\n",
    "        feat_imp.plot(title='Feature Importances')\n",
    "        plt.ylabel('Feature Importance Score')\n",
    "        \n",
    "    def get_params(self, deep=True):\n",
    "        return self.params\n",
    " \n",
    "    def set_params(self, **params):\n",
    "        self.params.update(params)\n",
    "        return self \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "#衡量标准\n",
    "def mae_score(y_true, y_pred):\n",
    "    return mean_absolute_error(np.exp(y_true), np.exp(y_pred))\n",
    "\n",
    "mae_scorer = make_scorer(mae_score, greater_is_better=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "bst = XGBoostRegressor(eta=0.1, colsample_bytree=0.5, subsample=0.5, \n",
    "                       max_depth=5, min_child_weight=3, num_boost_round=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "train-rmse-mean       0.558938\n",
       "train-rmse-std        0.001005\n",
       "test-rmse-mean        0.562665\n",
       "test-rmse-std         0.002445\n",
       "train-mae-mean     1209.707324\n",
       "train-mae-std         3.004207\n",
       "test-mae-mean      1218.884204\n",
       "test-mae-std          8.982969\n",
       "Name: 49, dtype: float64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bst.kfold(train_x, train_y, nfold=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 按照训练集处理方式，处理我们的测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>cat1</th>\n",
       "      <th>cat2</th>\n",
       "      <th>cat3</th>\n",
       "      <th>cat4</th>\n",
       "      <th>cat5</th>\n",
       "      <th>cat6</th>\n",
       "      <th>cat7</th>\n",
       "      <th>cat8</th>\n",
       "      <th>cat9</th>\n",
       "      <th>...</th>\n",
       "      <th>cont5</th>\n",
       "      <th>cont6</th>\n",
       "      <th>cont7</th>\n",
       "      <th>cont8</th>\n",
       "      <th>cont9</th>\n",
       "      <th>cont10</th>\n",
       "      <th>cont11</th>\n",
       "      <th>cont12</th>\n",
       "      <th>cont13</th>\n",
       "      <th>cont14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.281143</td>\n",
       "      <td>0.466591</td>\n",
       "      <td>0.317681</td>\n",
       "      <td>0.61229</td>\n",
       "      <td>0.34365</td>\n",
       "      <td>0.38016</td>\n",
       "      <td>0.377724</td>\n",
       "      <td>0.369858</td>\n",
       "      <td>0.704052</td>\n",
       "      <td>0.392562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.836443</td>\n",
       "      <td>0.482425</td>\n",
       "      <td>0.443760</td>\n",
       "      <td>0.71330</td>\n",
       "      <td>0.51890</td>\n",
       "      <td>0.60401</td>\n",
       "      <td>0.689039</td>\n",
       "      <td>0.675759</td>\n",
       "      <td>0.453468</td>\n",
       "      <td>0.208045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.718531</td>\n",
       "      <td>0.212308</td>\n",
       "      <td>0.325779</td>\n",
       "      <td>0.29758</td>\n",
       "      <td>0.34365</td>\n",
       "      <td>0.30529</td>\n",
       "      <td>0.245410</td>\n",
       "      <td>0.241676</td>\n",
       "      <td>0.258586</td>\n",
       "      <td>0.297232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>0.397069</td>\n",
       "      <td>0.369930</td>\n",
       "      <td>0.342355</td>\n",
       "      <td>0.40028</td>\n",
       "      <td>0.33237</td>\n",
       "      <td>0.31480</td>\n",
       "      <td>0.348867</td>\n",
       "      <td>0.341872</td>\n",
       "      <td>0.592264</td>\n",
       "      <td>0.555955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>0.302678</td>\n",
       "      <td>0.398862</td>\n",
       "      <td>0.391833</td>\n",
       "      <td>0.23688</td>\n",
       "      <td>0.43731</td>\n",
       "      <td>0.50556</td>\n",
       "      <td>0.359572</td>\n",
       "      <td>0.352251</td>\n",
       "      <td>0.301535</td>\n",
       "      <td>0.825823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125541</td>\n",
       "      <td>587617</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>0.281143</td>\n",
       "      <td>0.438917</td>\n",
       "      <td>0.815941</td>\n",
       "      <td>0.39455</td>\n",
       "      <td>0.48740</td>\n",
       "      <td>0.40666</td>\n",
       "      <td>0.550529</td>\n",
       "      <td>0.538473</td>\n",
       "      <td>0.298734</td>\n",
       "      <td>0.345946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125542</td>\n",
       "      <td>587621</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>0.674529</td>\n",
       "      <td>0.346948</td>\n",
       "      <td>0.424968</td>\n",
       "      <td>0.47669</td>\n",
       "      <td>0.25753</td>\n",
       "      <td>0.26894</td>\n",
       "      <td>0.324486</td>\n",
       "      <td>0.352251</td>\n",
       "      <td>0.490001</td>\n",
       "      <td>0.290576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125543</td>\n",
       "      <td>587627</td>\n",
       "      <td>B</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.794794</td>\n",
       "      <td>0.808958</td>\n",
       "      <td>0.511502</td>\n",
       "      <td>0.72299</td>\n",
       "      <td>0.94438</td>\n",
       "      <td>0.83510</td>\n",
       "      <td>0.933174</td>\n",
       "      <td>0.926619</td>\n",
       "      <td>0.848129</td>\n",
       "      <td>0.808125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125544</td>\n",
       "      <td>587629</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>0.302678</td>\n",
       "      <td>0.372125</td>\n",
       "      <td>0.388545</td>\n",
       "      <td>0.31796</td>\n",
       "      <td>0.32128</td>\n",
       "      <td>0.36974</td>\n",
       "      <td>0.307628</td>\n",
       "      <td>0.301921</td>\n",
       "      <td>0.608259</td>\n",
       "      <td>0.361542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125545</td>\n",
       "      <td>587634</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>B</td>\n",
       "      <td>...</td>\n",
       "      <td>0.413817</td>\n",
       "      <td>0.221699</td>\n",
       "      <td>0.242044</td>\n",
       "      <td>0.25461</td>\n",
       "      <td>0.31399</td>\n",
       "      <td>0.25183</td>\n",
       "      <td>0.245410</td>\n",
       "      <td>0.241676</td>\n",
       "      <td>0.287682</td>\n",
       "      <td>0.220323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>125546 rows × 131 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id cat1 cat2 cat3 cat4 cat5 cat6 cat7 cat8 cat9  ...     cont5  \\\n",
       "0            4    A    B    A    A    A    A    A    A    B  ...  0.281143   \n",
       "1            6    A    B    A    B    A    A    A    A    B  ...  0.836443   \n",
       "2            9    A    B    A    B    B    A    B    A    B  ...  0.718531   \n",
       "3           12    A    A    A    A    B    A    A    A    A  ...  0.397069   \n",
       "4           15    B    A    A    A    A    B    A    A    A  ...  0.302678   \n",
       "...        ...  ...  ...  ...  ...  ...  ...  ...  ...  ...  ...       ...   \n",
       "125541  587617    A    A    A    B    A    A    A    A    A  ...  0.281143   \n",
       "125542  587621    A    A    A    A    B    B    A    B    A  ...  0.674529   \n",
       "125543  587627    B    B    A    A    B    A    A    A    B  ...  0.794794   \n",
       "125544  587629    A    A    A    A    A    B    A    B    A  ...  0.302678   \n",
       "125545  587634    A    B    A    A    A    A    A    A    B  ...  0.413817   \n",
       "\n",
       "           cont6     cont7    cont8    cont9   cont10    cont11    cont12  \\\n",
       "0       0.466591  0.317681  0.61229  0.34365  0.38016  0.377724  0.369858   \n",
       "1       0.482425  0.443760  0.71330  0.51890  0.60401  0.689039  0.675759   \n",
       "2       0.212308  0.325779  0.29758  0.34365  0.30529  0.245410  0.241676   \n",
       "3       0.369930  0.342355  0.40028  0.33237  0.31480  0.348867  0.341872   \n",
       "4       0.398862  0.391833  0.23688  0.43731  0.50556  0.359572  0.352251   \n",
       "...          ...       ...      ...      ...      ...       ...       ...   \n",
       "125541  0.438917  0.815941  0.39455  0.48740  0.40666  0.550529  0.538473   \n",
       "125542  0.346948  0.424968  0.47669  0.25753  0.26894  0.324486  0.352251   \n",
       "125543  0.808958  0.511502  0.72299  0.94438  0.83510  0.933174  0.926619   \n",
       "125544  0.372125  0.388545  0.31796  0.32128  0.36974  0.307628  0.301921   \n",
       "125545  0.221699  0.242044  0.25461  0.31399  0.25183  0.245410  0.241676   \n",
       "\n",
       "          cont13    cont14  \n",
       "0       0.704052  0.392562  \n",
       "1       0.453468  0.208045  \n",
       "2       0.258586  0.297232  \n",
       "3       0.592264  0.555955  \n",
       "4       0.301535  0.825823  \n",
       "...          ...       ...  \n",
       "125541  0.298734  0.345946  \n",
       "125542  0.490001  0.290576  \n",
       "125543  0.848129  0.808125  \n",
       "125544  0.608259  0.361542  \n",
       "125545  0.287682  0.220323  \n",
       "\n",
       "[125546 rows x 131 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = pd.read_csv('allstate-claims-severity/test.csv')\n",
    "\n",
    "test#没有loss列,loss需要预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cat1</th>\n",
       "      <th>cat2</th>\n",
       "      <th>cat3</th>\n",
       "      <th>cat4</th>\n",
       "      <th>cat5</th>\n",
       "      <th>cat6</th>\n",
       "      <th>cat7</th>\n",
       "      <th>cat8</th>\n",
       "      <th>cat9</th>\n",
       "      <th>cat10</th>\n",
       "      <th>...</th>\n",
       "      <th>cont5</th>\n",
       "      <th>cont6</th>\n",
       "      <th>cont7</th>\n",
       "      <th>cont8</th>\n",
       "      <th>cont9</th>\n",
       "      <th>cont10</th>\n",
       "      <th>cont11</th>\n",
       "      <th>cont12</th>\n",
       "      <th>cont13</th>\n",
       "      <th>cont14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.281143</td>\n",
       "      <td>0.466591</td>\n",
       "      <td>0.317681</td>\n",
       "      <td>0.61229</td>\n",
       "      <td>0.34365</td>\n",
       "      <td>0.38016</td>\n",
       "      <td>0.377724</td>\n",
       "      <td>0.369858</td>\n",
       "      <td>0.704052</td>\n",
       "      <td>0.392562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.836443</td>\n",
       "      <td>0.482425</td>\n",
       "      <td>0.443760</td>\n",
       "      <td>0.71330</td>\n",
       "      <td>0.51890</td>\n",
       "      <td>0.60401</td>\n",
       "      <td>0.689039</td>\n",
       "      <td>0.675759</td>\n",
       "      <td>0.453468</td>\n",
       "      <td>0.208045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.718531</td>\n",
       "      <td>0.212308</td>\n",
       "      <td>0.325779</td>\n",
       "      <td>0.29758</td>\n",
       "      <td>0.34365</td>\n",
       "      <td>0.30529</td>\n",
       "      <td>0.245410</td>\n",
       "      <td>0.241676</td>\n",
       "      <td>0.258586</td>\n",
       "      <td>0.297232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.397069</td>\n",
       "      <td>0.369930</td>\n",
       "      <td>0.342355</td>\n",
       "      <td>0.40028</td>\n",
       "      <td>0.33237</td>\n",
       "      <td>0.31480</td>\n",
       "      <td>0.348867</td>\n",
       "      <td>0.341872</td>\n",
       "      <td>0.592264</td>\n",
       "      <td>0.555955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.302678</td>\n",
       "      <td>0.398862</td>\n",
       "      <td>0.391833</td>\n",
       "      <td>0.23688</td>\n",
       "      <td>0.43731</td>\n",
       "      <td>0.50556</td>\n",
       "      <td>0.359572</td>\n",
       "      <td>0.352251</td>\n",
       "      <td>0.301535</td>\n",
       "      <td>0.825823</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 130 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   cat1  cat2  cat3  cat4  cat5  cat6  cat7  cat8  cat9  cat10  ...     cont5  \\\n",
       "0     0     1     0     0     0     0     0     0     1      0  ...  0.281143   \n",
       "1     0     1     0     1     0     0     0     0     1      0  ...  0.836443   \n",
       "2     0     1     0     1     1     0     1     0     1      1  ...  0.718531   \n",
       "3     0     0     0     0     1     0     0     0     0      0  ...  0.397069   \n",
       "4     1     0     0     0     0     1     0     0     0      0  ...  0.302678   \n",
       "\n",
       "      cont6     cont7    cont8    cont9   cont10    cont11    cont12  \\\n",
       "0  0.466591  0.317681  0.61229  0.34365  0.38016  0.377724  0.369858   \n",
       "1  0.482425  0.443760  0.71330  0.51890  0.60401  0.689039  0.675759   \n",
       "2  0.212308  0.325779  0.29758  0.34365  0.30529  0.245410  0.241676   \n",
       "3  0.369930  0.342355  0.40028  0.33237  0.31480  0.348867  0.341872   \n",
       "4  0.398862  0.391833  0.23688  0.43731  0.50556  0.359572  0.352251   \n",
       "\n",
       "     cont13    cont14  \n",
       "0  0.704052  0.392562  \n",
       "1  0.453468  0.208045  \n",
       "2  0.258586  0.297232  \n",
       "3  0.592264  0.555955  \n",
       "4  0.301535  0.825823  \n",
       "\n",
       "[5 rows x 130 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#features_test = [x for x in test.columns if x not in ['id']]\n",
    "\n",
    "test_x = test[features]\n",
    "\n",
    "#将类别数据的类别用数字替换\n",
    "for c in range(len(cat_features)):\n",
    "\n",
    "    test_x[cat_features[c]] = test_x[cat_features[c]].astype('category').cat.codes\n",
    "\n",
    "test_x.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "#数据类型转换成库可以使用的底层格式。\n",
    "dtest_x = xgb.DMatrix(test_x)\n",
    "#dtest_x\n",
    "#得到我们想要的测试集\n",
    "\n",
    "\n",
    "#预测命令：\n",
    "#xgb.predict(dtest_x)\n",
    "test_y = bst.predict(test_x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7.450635, 125546)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_y[1],len(test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(125546,)"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "#math.exp(test_y[0])\n",
    "test_exp_y= np.zeros(len(test_y))\n",
    "for i in range(len(test_y)):\n",
    "    test_exp_y[i] = math.exp(test_y[i])\n",
    "test_exp_y.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 1: 基准模型\n",
    "## Step 2: 树的深度与节点权重\n",
    "这些参数对xgboost性能影响最大，因此，他们应该调整第一。我们简要地概述它们：  \n",
    "    max_depth: 树的最大深度。增加这个值会使模型更加复杂，也容易出现过拟合，深度3-10是合理的。  \n",
    "    min_child_weight: 正则化参数. 如果树分区中的实例权重小于定义的总和，则停止树构建过程。\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[4, 5, 6, 7, 8]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb_param_grid = {'max_depth': list(range(4,9)), 'min_child_weight': list((1,3,6))}\n",
    "xgb_param_grid['max_depth'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 18min 30s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score='raise-deprecating',\n",
       "             estimator=<__main__.XGBoostRegressor object at 0x000001EAF043AAC8>,\n",
       "             iid='warn', n_jobs=None,\n",
       "             param_grid={'max_depth': [4, 5, 6, 7, 8],\n",
       "                         'min_child_weight': [1, 3, 6]},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring=make_scorer(mae_score, greater_is_better=False),\n",
       "             verbose=0)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "#交叉验证 网格搜索\n",
    "grid = GridSearchCV(XGBoostRegressor(eta=0.1, num_boost_round=50, colsample_bytree=0.5, subsample=0.5),\n",
    "                param_grid=xgb_param_grid, cv=5, scoring = mae_scorer)\n",
    "\n",
    "grid.fit(train_x, train_y.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-1243.45883654 -1243.43443586 -1243.74273371 -1219.45710638\n",
      " -1219.53921994 -1219.59817312 -1205.01504313 -1203.69057513\n",
      " -1203.64737075 -1194.79949665 -1194.31288936 -1193.77942991\n",
      " -1189.22162241 -1188.18115104 -1187.53612533]\n",
      "[{'max_depth': 4, 'min_child_weight': 1}, {'max_depth': 4, 'min_child_weight': 3}, {'max_depth': 4, 'min_child_weight': 6}, {'max_depth': 5, 'min_child_weight': 1}, {'max_depth': 5, 'min_child_weight': 3}, {'max_depth': 5, 'min_child_weight': 6}, {'max_depth': 6, 'min_child_weight': 1}, {'max_depth': 6, 'min_child_weight': 3}, {'max_depth': 6, 'min_child_weight': 6}, {'max_depth': 7, 'min_child_weight': 1}, {'max_depth': 7, 'min_child_weight': 3}, {'max_depth': 7, 'min_child_weight': 6}, {'max_depth': 8, 'min_child_weight': 1}, {'max_depth': 8, 'min_child_weight': 3}, {'max_depth': 8, 'min_child_weight': 6}]\n",
      "************************************\n",
      "{'max_depth': 8, 'min_child_weight': 6}\n",
      "************************************\n",
      "-1187.5361253348233\n"
     ]
    }
   ],
   "source": [
    "#grid.grid_scores_, grid.best_params_, grid.best_score_  #旧版本\n",
    "\n",
    "#print(grid.cv_results_)#新版本\n",
    "print(grid.cv_results_['mean_test_score'])\n",
    "print(grid.cv_results_['params'])\n",
    "print('************************************')\n",
    "print(grid.best_params_)\n",
    "print('************************************')\n",
    "print(grid.best_score_ )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "网格搜索发现的最佳结果:\n",
    "{'max_depth': 8, 'min_child_weight': 6}, -1187.9597499123447)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_grid_scores(scores):\n",
    "    _params = []\n",
    "    _params_mae = []    \n",
    "    for i in scores:\n",
    "        _params.append(i[0].values())\n",
    "        _params_mae.append(i[1])\n",
    "    params = np.array(_params)\n",
    "    grid_res = np.column_stack((_params,_params_mae))\n",
    "    return [grid_res[:,i] for i in range(grid_res.shape[1])] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "_,scores =  convert_grid_scores(grid.grid_scores_)\n",
    "scores = scores.reshape(5,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "cp = plt.contourf(xgb_param_grid['min_child_weight'], xgb_param_grid['max_depth'], scores, cmap='BrBG')\n",
    "plt.colorbar(cp)\n",
    "plt.title('Depth / min_child_weight optimization')\n",
    "plt.annotate('We use this', xy=(5.95, 7.95), xytext=(4, 7.5), arrowprops=dict(facecolor='white'), color='white')\n",
    "plt.annotate('Good for depth=7', xy=(5.98, 7.05), \n",
    "             xytext=(4, 6.5), arrowprops=dict(facecolor='white'), color='white')\n",
    "plt.xlabel('min_child_weight')\n",
    "plt.ylabel('max_depth')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 3: 调节 gamma去降低过拟合风险"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "xgb_param_grid = {'gamma':[ 0.1 * i for i in range(0,5)]}\n",
    "\n",
    "grid = GridSearchCV(XGBoostRegressor(eta=0.1, num_boost_round=50, max_depth=8, min_child_weight=6,\n",
    "                                        colsample_bytree=0.5, subsample=0.5),\n",
    "                    param_grid=xgb_param_grid, cv=5, scoring=mae_scorer)\n",
    "\n",
    "grid.fit(train_x, train_y.values)\n",
    "\n",
    "#Wall time: 13min 45s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.grid_scores_, grid.best_params_, grid.best_score_ "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 4: 调节样本采样方式 subsample 和 colsample_bytree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "xgb_param_grid = {'subsample':[ 0.1 * i for i in range(6,9)],\n",
    "                      'colsample_bytree':[ 0.1 * i for i in range(6,9)]}\n",
    "\n",
    "\n",
    "grid = GridSearchCV(XGBoostRegressor(eta=0.1, gamma=0.2, num_boost_round=50, max_depth=8, min_child_weight=6),\n",
    "                    param_grid=xgb_param_grid, cv=5, scoring=mae_scorer)\n",
    "grid.fit(train_x, train_y.values)\n",
    "\n",
    "# Wall time: 28min 26s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.grid_scores_, grid.best_params_, grid.best_score_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "_, scores =  convert_grid_scores(grid.grid_scores_)\n",
    "scores = scores.reshape(3,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "cp = plt.contourf(xgb_param_grid['subsample'], xgb_param_grid['colsample_bytree'], scores, cmap='BrBG')\n",
    "plt.colorbar(cp)\n",
    "plt.title('Subsampling params tuning')\n",
    "plt.annotate('Optimum', xy=(0.895, 0.6), xytext=(0.8, 0.695), arrowprops=dict(facecolor='black'))\n",
    "plt.xlabel('subsample')\n",
    "plt.ylabel('colsample_bytree')\n",
    "plt.grid(True)\n",
    "plt.show() "
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在当前的预训练模式的具体案例，我得到了下面的结果：\n",
    "`{'colsample_bytree': 0.8, 'subsample': 0.8}, -1182.9309918891634)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 5: 减小学习率并增大树个数\n",
    "（也可以增大学习率减小树个数）\n",
    " \n",
    "参数优化的最后一步是降低学习速度，同时增加更多的估计量\n",
    " \n",
    "First, we plot different learning rates for a simpler model (50 trees):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "    \n",
    "xgb_param_grid = {'eta':[0.5,0.4,0.3,0.2,0.1,0.075,0.05,0.04,0.03]}\n",
    "grid = GridSearchCV(XGBoostRegressor(num_boost_round=50, gamma=0.2, max_depth=8, min_child_weight=6,\n",
    "                                        colsample_bytree=0.6, subsample=0.9),\n",
    "                    param_grid=xgb_param_grid, cv=5, scoring=mae_scorer)\n",
    "\n",
    "grid.fit(train_x, train_y.values) \n",
    "\n",
    "#CPU times: user 6.69 ms, sys: 0 ns, total: 6.69 ms\n",
    "#Wall time: 6.55 ms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.grid_scores_, grid.best_params_, grid.best_score_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "eta, y = convert_grid_scores(grid.grid_scores_)\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.title('MAE and ETA, 50 trees')\n",
    "plt.xlabel('eta')\n",
    "plt.ylabel('score')\n",
    "plt.plot(eta, -y)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "{'eta': 0.2}, -1160.9736284869114 是目前最好的结果  \n",
    "现在我们把树的个数增加到100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "xgb_param_grid = {'eta':[0.5,0.4,0.3,0.2,0.1,0.075,0.05,0.04,0.03]}\n",
    "grid = GridSearchCV(XGBoostRegressor(num_boost_round=100, gamma=0.2, max_depth=8, min_child_weight=6,\n",
    "                                        colsample_bytree=0.6, subsample=0.9),\n",
    "                    param_grid=xgb_param_grid, cv=5, scoring=mae_scorer)\n",
    "\n",
    "grid.fit(train_x, train_y.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.grid_scores_, grid.best_params_, grid.best_score_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "eta, y = convert_grid_scores(grid.grid_scores_)\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.title('MAE and ETA, 100 trees')\n",
    "plt.xlabel('eta')\n",
    "plt.ylabel('score')\n",
    "plt.plot(eta, -y)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)  \n",
    "\n",
    "学习率低一些的效果更好  \n",
    "\n",
    "### 我们继续增大树的个数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "xgb_param_grid = {'eta':[0.09,0.08,0.07,0.06,0.05,0.04]}\n",
    "grid = GridSearchCV(XGBoostRegressor(num_boost_round=200, gamma=0.2, max_depth=8, min_child_weight=6,\n",
    "                                        colsample_bytree=0.6, subsample=0.9),\n",
    "                    param_grid=xgb_param_grid, cv=5, scoring=mae_scorer)\n",
    "\n",
    "grid.fit(train_x, train_y.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid.grid_scores_, grid.best_params_, grid.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "eta, y = convert_grid_scores(grid.grid_scores_)\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.title('MAE and ETA, 200 trees')\n",
    "plt.xlabel('eta')\n",
    "plt.ylabel('score')\n",
    "plt.plot(eta, -y)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "# Final XGBoost model\n",
    "\n",
    "bst = XGBoostRegressor(num_boost_round=200, eta=0.07, gamma=0.2, max_depth=8, min_child_weight=6,\n",
    "                                        colsample_bytree=0.6, subsample=0.9)\n",
    "cv = bst.kfold(train_x, train_y, nfold=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结\n",
    "    可以看到200棵树最好的ETA是0.07。正如我们所预料的那样，ETA和num_boost_round依赖关系不是线性的，但是有些关联。\n",
    "    花了相当长的一段时间优化xgboost. 从初始值: 1219.57. 经过调参之后达到 MAE=1171.77.\n",
    "    我们还发现参数之间的关系ETA和num_boost_round：\n",
    "    100 trees, eta=0.1: MAE=1152.247\n",
    "    200 trees, eta=0.07: MAE=1145.92\n",
    "`XGBoostRegressor(num_boost_round=200, gamma=0.2, max_depth=8, min_child_weight=6,\n",
    "colsample_bytree=0.6, subsample=0.9, eta=0.07).\n",
    "xgboost作为kaggle和天池等各种数据比赛最受欢迎的算法之一,从项目中可见调参也是一件很容易的事情,并不复杂,好用精确率高,叫谁谁不用,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
